Geoid (E-Journal)
Not a member yet
504 research outputs found
Sort by
ANALISA PEMANTAUAN PERKEMBANGAN PEKERJAAN SURVEI TOPOGRAFI SEISMIK PT PERTAMINA EP SECARA ONLINE MENGGUNAKAN OPERATION DASHBOARD
No full textPT Pertamina EP adalah perusahaan yang menyelenggarakan kegiatan usaha di sektor hulu bidang minyak dan gas bumi, meliputi eksplorasi dan eksploitasi. Survei seismik adalah tahapan awal dalam pencarian minyak dan gas di bawah permukaan bumi. Tahapan pelaksanaan survei seismik meliputi pekerjaan topografi (pengukuran lintasan, rintis, dan bridging), pemboran (drilling) dengan pengisian bahan peledak (preloading), perekaman data (recording), dan pengolahan data seismik yang dilakukan di lokasi survei. Pemantauan kegiatan survei seismik dilakukan secara intensif dan efektif oleh PT Pertamina EP untuk mendapatkan kualitas data yang baik.Pada penelitian ini, penulis mendokumentasikan inovasi mengenai pembuatan Operation Dashboard berbasis aplikasi WebGIS untuk monitoring aktivitas survei seismik PT Pertamina EP. Aplikasi tersebut dibangun secara enterprise menggunakan piranti lunak dari Esri untuk menampilkan informasi spasial kepada pengguna. Data yang bersifat dinamis juga dapat diimplementasikan menggunakan tools update hosted layer to ArcGIS OnlineHasil dari penelitian ini adalah aplikasi WebGIS yang dapat diakses oleh user secara real time dan komunikatif dalam bentuk Operation Dashboard. Total pekerjaan kemajuan pengawasan topografi survei seismik pada bulan April 2017 (4 bulan pengerjaan lapangan) adalah selesai 23%. Dengan penggunaan aplikasi Operation Dashboard, progress monitoring survei seismik dapat dilakukan secara efisien, keamanan data terjaga, dan kualitas akuisisi data seismik dilapangan khususnya data topografi dapat diperoleh sesuai standar yang berlaku di PT Pertamina EP
Detection of River Change in Modeling Flood Vulnerability using Support Vector Machine (SVM) Methods in Tallo River Makassar City
No full textThe transformation of river morphology and the rising frequency of flooding in urban environments have emerged as increasingly concerning environmental challenges, particularly in Makassar City. The Tallo River, one of the primary waterways traversing the city, exhibits notable dynamic changes driven by both natural processes. In the contemporary era, flooding stands as one of the most recurrent natural disasters, occurring unpredictably and posing serious risks, especially in major metropolitan areas. Such events frequently disrupt daily activities, leading to traffic congestion and obstructing ground transportation. Residential zones situated near riverbanks are particularly vulnerable to its impacts. Moreover, climate change exacerbates these conditions by contributing to increasing environmental unpredictability and need through a monitoring. The purpose of this research is to analyze river morphology changes and assess flood susceptibility in the Tallo River, Makassar City, using Support Vector Machine (SVM) classification methods. Approximately, there are 20% of the area experienced significant changes during 2018 in Tallo River. As water discharge continues to increase, the volume of water mass also rises accordingly. To detect the spatial distribution of flood vulnerability along the Tallo River, which flows through Makassar City, this study utilizes Land Use and Land Cover (LULC) data from 2017 and 2024. These datasets were classified using the Random Forest model, achieving accuracies of 0.89 and 0.87, respectively values that meet the standards for land use change accuracy. Flood vulnerability is also influenced by low elevation values, particularly areas below 0 meters, which are classified as wetland zones. In the Tallo River area, which is part of the Jeneberang Watershed, the dominant class is moderate flood vulnerability, covering approximately 138.48 hectares. Remote sensing technology combined with machine learning approaches especially supervised classification techniques widely used for both binary and multivariate classification tasks, demonstrating high accuracy in detecting and classifying flood vulnerability
Evaluasi Tingkat Kekritisan Daerah Resapan Air di Rencana Tata Ruang Kabupaten Blitar
Get PDFPenelitian ini bertujuan untuk mengevaluasi tingkat kekritisan daerah resapan air di pola tata ruang kawasan resapan air Kabupaten Blitar. Untuk tujuan tersebut, maka dalam penelitian ini dilakukan pemetaan kondisi kawasan resapan air di Kabupaten Blitar. Dasar parameter penelitian ini adalah Peraturan Menteri Kehutanan Republik Indonesia Nomor : P. 32/MENHUT-II/2009. Parameter dalam peraturan tersebut meliputi jenis tanah, kemiringan lereng, tutupan lahan dan curah hujan. Metode yang digunakan dalam penelitian ini yaitu metode skoring setiap parameter dan teknik tumpang susun (overlay). Hasil penelitian ini menunjukkan tingkat kekritisan daerah resapan air pada pola tata ruang kawasan resapan air di Kabupaten Blitar sebagian besar menunjukkan kondisi baik (60,70%) dan normal alami (27,96%), yang mencerminkan kesesuaian dengan rencana tata ruang periode 2011–2031. Namun, terdapat area yang mulai kritis (11,29%) dan agak kritis (0,04%), yang didominasi oleh lahan terbangun. Untuk mempertahankan fungsi kawasan resapan air perlu penyesuaian rencana pola ruang, pengurangan lahan terbangun, serta penerapan langkah konservasi yang efektif. Evaluasi menyeluruh terhadap penetapan pola tata ruang menjadi hal krusial dalam mendukung pengelolaan yang berkelanjutan di Kabupaten Blitar
Quantitative Geomorphology Approach in the Assessment of Relative Tectonic Activity in Cikandang Watershed, South West Java
Get PDFCikandang Watershed in Cisewu Block, South West Java, is an area with significant tectonic activity that is reflected in geomorphological characteristics. This study aims to evaluate the relative tectonic activity in the Cikandang watershed using a quantitative geomorphological approach. Research methods involved six morphotectonic parameters: Valley Height-Width Ratio (Vf), Mountain Face Sinusity (Smf), Basin Shape Index (Bs), Asymmetry Factor (Af), Integral Hypsometry (Hi), and River Length Gradient Index (SL). These parameters were analysed to determine the Index of Relative Tectonic Activity (IATR) in 45 3rd-order catchments. Results showed variations in the level of tectonic activity in the Cikandang watershed. Based on the Index of Relative Tectonic Activity (IATR) value, 6 catchments belong to the high tectonic class, 34 catchments are in the medium tectonic class, and 5 catchments are in the low tectonic class. Analysis results indicate the presence of intensive tectonic deformation. These distributions reflect the significant influence of ‘moderate’ tectonic activity which is also indicated by the role of erosional processes in shaping the geomorphology of the Cikandang watershed. Morphotectonic features such as V-shaped valleys and irregular drainage patterns support the indication of tectonic activity. This research provides an overview of the influence of tectonic activity on geomorphological development in the Cikandang watershed
Pemanfaatan Citra Satelit untuk Penentuan Lokasi Bangunan Cagar Budaya Kerajaan Majapahit Menggunakan Metode Delineasi (Studi Kasus : Kawasan Cagar Budaya Trowulan Mojokerto)
Get PDFKawasan trowulan merupakan Zona Kerajaan Majapahit yang berada di Kabupaten Mojokerto secara administrasi beririsan dengan dua Kabupaten, yaitu kabupaten Mojokerto dan Kabupaten Jombang. Terdiri dari 6 (enam) kecamatan diantaranya adalah Kecamatan Jatirejo, Puri, Trowulan, Sooko, Mojowarno, Mojoagung dan Kecamatan Sumobito. Kawasan Trowulan masuk dalam KSN (Kawasan Strategis Nasional) dimana wilayah yang penataan ruangnya diprioritaskan karena memiliki pengaruh sangat penting secara nasional, baik terhadap kedaulatan negara, ekonomi,sosial, budaya, dan/atau lingkungan. Termasuk wilayah yang telah ditetapkan sebagai warisan dunia atau World Heritage. Penelitian ini dipilih karena memiliki tingkat signifikansi yang besar dalam berbagai aspek, diantaranya adalah aspek pembangunan dan pengembangan daerah kawasan pariwisata sejarah, serta aspek ilmu pengetahuan, teknologi, dan budaya. Salah satunya ialah pelestarian cagar budaya dengan memanfaatkan citra satelit dan metode delineasi. Penelitian tersebut dapat membantu dalam melakukan identifikasi serta monitoring terhadap area situs purbakala yang rentan terhadap kerusakan, baik yang disebabkan bencana alam maupun kerusakan yang disebabkan oleh aktivitas manusia. Tujuan penelitian ini untuk mengidentifikasi letak lokasi situs bangunan cagar budaya berdasarkan sistem zonasi di Kawasan Trowulan dengan metode memetakan Zona Inti, Zona Penyangga, Zona Pengembangan dan Zona Penunjang. Metode penelitian ini dilakukanMelalui proses interpretasi visual dari citra dan menggabungkan dengan teknik digitasi on screen, dapat dilakukan deliniasi dan zonasi penentuan titik lokasi serta zona cagar budaya Kawasan Trowulan. Penggunaan citra satelit Google Earth Pro, terutama pada penelitian zonasi lokasi cagar budaya sedikit memiliki kendala dalam observasi di lokasi lapangan. Hasil pemetaan deliniasi dan zonasi didapatkan beberapa peta, yaitu Peta Deliniasi Kawasan Cagar Budaya Nasional Trowulan dan Peta Zonasi (Zona), Peta Delineasi Sektor 5 Segaran, Sektor 12 Grobogan, Zona Inti Balong Bunder, Zona Penyangga Sektor 21
A Look at the Time Series of NDVI and NDWI at a Wildfire Site in California, USA
No full textCalifornia has experienced some of the deadliest wildfires in the recent years. Thomas Fire is the eighth largest wildfire in the state of California. In this paper, the correlation between vegetation health and canopy water content and wildfire occurrences is analyzed using Thomas Fire site as the case study site. Time series of Landsat 8 OLI and TIRS Level -1 GeoTIFF data during the period of 2013 to was processed in Esri ArcMap 10.7, and Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were computed. The results of the case study demonstrate the potential of Landsat 8 surface reflectance - derived Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) to monitor and identify areas susceptible to wildfire triggers and occurrences
Estimation of Total Carbon Stock and Mangrove Health Index in Sidoarjo using Machine Learning Spectral Analysis Method of Sentinel-2A Satellite Imagery
Get PDFThe mangrove ecosystem has the potential ability to absorb carbon dioxide better than other forest ecosystems. It is noted that mangrove forests have an important role in reducing the concentration of carbon dioxide in the air. Changes in land cover conditions, massive development of urban areas, and the large need for housing in the Sidoarjo are the main causes of the decline in the area of mangrove forests which have been converted into fish ponds and residential areas. This triggers a decline in the quality of mangroves and will directly impact on reducing the capacity to store carbon reserves in Sidoarjo Regency. Biomass estimation calculations were carried out using the NDVI algorithm from remote sensing results using Sentinel Imagery – 2A. Apart from that, the mangrove health index was also calculated using the GCI (Green Chlorophyll Index), SIPI (Structure Insensitive Pigment Index), NBR (Normalized Burn Ratio), and ARVI (Atmospherically Resistant Vegetation Index). Based on the calculation results, the value obtained for the coastal area of Sidoarjo Regency the TCS or total carbon stock ranged from 1.1679468503445e-09 to 84.3344 TonC/hectares. Meanwhile, the results of the mangrove health index calculation show that the condition of mangroves in the coastal area of Sidoarjo Regency has a sufficient mangrove health index, with the highest area being 637.77 hectares, while only 10.80 hectares are available has a good health index. The results of this study are expected to be one of the bases for decision-making and policies in the rehabilitation and conservation of mangrove in Sidoarjo
Prediction of Rice Productivity Using the Random Forest Regression Algorithm in Cikaret Subdistrict for the Years 2020-2024
Get PDFThe challenges surrounding rice productivity in Indonesia are growing more complex due to factors like climate change, population growth, and limited agricultural land. As the primary food source and main carbohydrate provider, rice is crucial for the majority of Indonesians. This study focuses on predicting rice productivity using the random forest regression algorithm, incorporating predictor variables such as NDVI, NDMI, land area, land surface temperature, rainfall, fertilizer type, and pests. To ensure the accuracy of the model, multicollinearity tests were conducted to check for strong correlations among the independent variables. The tests confirmed the absence of significant linear relationships, allowing all variables to be included in the model. The prediction model was built using time-series data from 2020 to 2023, resulting in 840 samples after eliminating outliers. The optimization process targeted the mtry parameter and the number of decision trees to reduce prediction error. The optimal model, utilizing 7 predictor features and 150 decision trees, achieved a low out of bag (OOB) error and stable mean square error (MSE). Model performance metrics showed a Mean Absolute Error (MAE) of 0.324 tons/hectare, MSE of 0.158 tons/hectare, Root Mean Square Error (RMSE) of 0.398 tons/hectare, and a coefficient of determination (R²) of 0.87. These results demonstrated that the random forest regression algorithm is highly effective in predicting rice productivity, particularly when dealing with complex data involving multiple predictor variables and potential multicollinearity
Study of 3D Cadastral Mapping in the Teaching Factory Building of The Vocational School, Diponegoro University Using SLAM (Simultaneous Localization and Mapping) Method
No full textCadastre is a land information system based on land parcels. The growth in the number of land parcels is influenced by the increasing conversion of land into residential areas, which in turn is driven by several factors, one of which is population growth. The demand for housing initially expanded horizontally; however, due to limited land availability, it has now shifted toward vertical development. Vertical housing types such as flats or apartments are emerging, which introduce complexity into the cadastral system due to the partitioning of internal spaces. Cadastre requires high-accuracy measurements; hence, the increase in measured areas leads to a higher workload. The SLAM (Simultaneous Localization and Mapping) method offers a breakthrough in fast and accurate measurements using laser-based technology, which can be implemented in cadastral mapping to update spatial data precisely and efficiently. This method combines the flexibility of handheld operation with high data precision by employing dense laser scanning. This study utilized the SLAM method, resulting in a polygon area processing of 0.3558 m², with an average center-point distance deviation of 0.0658 m, a polygon circularity ratio of -0.002, and a regression value of less than 10%. When this model is applied with a tolerance of up to 10% spatial error, it can achieve vertical measurements up to the 43rd floor, in accordance with the Directorate General of Taxation Circular and tested based on ISO 19113:2011 standards
ANALISIS ZONA NILAI TANAH TERHADAP RENCANA TATA RUANG WILAYAH RUNGKUT UNTUK MENINGKATKAN PENDAPATAN DAERAH DI SURABAYA
No full textSurabaya adalah kota terbesar kedua di Indonesia. Karena itu, banyak warga yang pergi ke kota ini untuk mendapatkan pekerjaan alih-alih bekerja di kota asal mereka. Namun, karena urbanisasi yang pasif itu membuat kebutuhan masyarakat akan rumah semakin besar sementara ketersediaan lahan terbatas. Ketika permintaan tanah lebih tinggi dari tanah yang tersedia maka harga tanah akan lebih tinggi. Dua sumber pendapatan lokal adalah PBB (Pajak Bumi dan Bangunan) dan BPHTB (Bea Perolehan Hak Atas Tanah dan Bangunan) di mana pengimporan dasarnya adalah NJOP (Nilai Jual Objek Pajak) untuk PBB dan NPOP untuk BPHTB. Namun, dalam hal ini NPOP (Nilai Perolehan Objek Pajak) disamakan dengan NJOP karena sumber pendapatan pajak yang sama yaitu komparatif penjualan. Asesmen massa digunakan dalam penelitian ini dengan pertimbangan lokasi memiliki luas wilayah. Oleh karena itu, zona nilai tanah harus ditumpang tindih dengan rencana tata ruang terperinci untuk menghitung potensi pendapatan PBB dan BPHTB. Zona industri memiliki kesesuaian lahan tertinggi 99,22% dengan luas 857.121.718 m2. Peningkatan pendapatan lokal melalui potensi pendapatan PBB dan BPHTB menunjukkan angka positif atau peningkatan nilai di setiap zona